Identification of State-space Models by Modified Nonlinear LS Optimization Method

摘要：

The problem of estimating parameter of LTI state-space system is addressed in this paper. A modified nonlinear least square(NNLS) method is proposed to the optimization of output error cost function. The nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the directions that change the input-output behavior of the system. Simulation studies show the improved performance of the proposed method.

关键词： System Identification Parameter Estimation Nonlinear Least Square State-Space Model

作者: ZHONG Lusheng YANG Hui LU Rongxiu Sun Baohua Meng Shasha

作者单位: College of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang Jiangxi 3 College of Electrical and Electronic Engineering, East China Jiaotong University,Nanchang Jiangxi 33

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1184-1187

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）